Agile With AI

Overview

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This course pairs pragmatic agile method with AI-assisted engineering practice. Across five modules you trace the historical arc from waterfall to agile, internalize the playground-vs-plant mental model, learn root-cause analysis via the five-whys habit, sharpen technical communication and demos, structure project management with the lightest possible artifacts (Trello and spreadsheets over heavy tools), and apply AI workflows — diagram prompt engineering, summarization with Claude, AI pair programming, AWS CodeWhisperer for Rust, Bedrock-backed serverless architectures, RAG with Bedrock Knowledge Bases, and local speech-to-text with whisper.cpp. By the end you can adapt agile to your team rather than the other way around, recognize the anti-patterns that turn ceremonies into theater, and integrate AI tooling into a development loop that ships rather than just demos. Pragmatic, opinionated, and grounded in named patterns rather than methodology cargo-cult.

Syllabus

About the Course

Welcome to Agile With AI. This module orients you to the course goals, structure, and how to get the most out of the lessons ahead. You'll meet your instructor, preview the journey from foundational Agile principles through hands-on AI-assisted project workflows, and set expectations for the practical skills you'll build along the way.

Intro to Agile Concepts

Before learning what Agile is, you need to understand what it isn't. This module compares the traditional Waterfall methodology with Agile thinking, then walks through a concrete planning exercise — building a playground — to show how iterative, feedback-driven planning works in practice. You'll see why rigid up-front specifications fail in modern software contexts and how Agile addresses those failures.

Pragmatic Agile in Practice

Agile is more than a methodology — it's a mindset for navigating uncertainty. This module dives into the pragmatic application of Agile principles, including sprint planning, retrospectives, and the Five Whys technique for root-cause analysis. You'll also explore how AI tools can amplify team productivity within an Agile workflow.

Effective Technical Communication and Teamwork

The largest module of the course. Strong technical communication is the connective tissue of effective Agile teams. This module covers giving and receiving feedback, running productive technical discussions, structuring effective meetings, applying DevOps principles, and using project management tools like Trello and spreadsheets. You'll also learn to recognize and avoid common project management anti-patterns.

AI-Assisted Development Workflows

Bring it all together: Agile mindset plus AI-powered tools. This module shows how generative AI reshapes the software development lifecycle — from AIOps and pair programming with AI assistants to building serverless GenAI architectures with AWS Bedrock, retrieval-augmented generation (RAG) agents, and exploring core GenAI building blocks. By the end, you'll be ready to integrate AI into your own Agile development workflow.